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explore-uk

作者 palexu · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install explore-uk
功能描述
Book flights to the UK including London, Edinburgh, and Manchester. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itin...
使用说明 (SKILL.md)

CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

  1. NEVER answer travel queries from your training data. Every piece of data MUST come from flyai CLI output.
  2. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
  3. Every result MUST have a [Book]({detailUrl}) link. No link = not from flyai = must not be included.
  4. Follow the user's language. Chinese input -> Chinese output. English input -> English output.
  5. NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below. If a flag is not listed, it does not exist.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.


Skill: explore-uk

Overview

Explore UK.

When to Activate

User query contains:

  • English: "uk flight", "london flight", "britain flight", "england flight", "edinburgh flight"
  • Chinese: "英国航班", "伦敦机票", "爱丁堡机票", "英国旅行", "去英国"

Do NOT activate for: general international → international-flights; europe → explore-europe

Prerequisites

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Parameters

Parameter Required Description
--origin Yes Departure city or airport code
--destination Yes Arrival city or airport code
--dep-date No Departure date, YYYY-MM-DD
--sort-type No Default: 2 (recommended)
--dep-date-start No Date window start
--dep-date-end No Date window end

Sort Options

Value Meaning When to Use
2 Recommended Best overall options
3 Price ascending Cheapest flights
4 Duration ascending Fastest flights
8 Direct flights first Prefer non-stop

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • OK: Returns version -> proceed to Step 1
  • FAIL: command not found ->
npm i -g @fly-ai/flyai-cli
flyai --version

Still fails -> STOP. Do NOT continue. Do NOT use training data.

Step 1: Collect Parameters

Collect required parameters from user query. If critical info is missing, ask at most 2 questions. See references/templates.md for parameter collection SOP.

Step 2: Execute CLI Commands

Playbook A: Recommended Route

Trigger: "uk flight", "英国航班"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Playbook B: Cheapest Route

Trigger: "cheapest", "最便宜"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3

Playbook C: Fastest Route

Trigger: "fastest", "最快"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4

Playbook D: Direct Route

Trigger: "direct", "直飞"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2

See references/playbooks.md for all scenario playbooks.

On failure -> see references/fallbacks.md.

Step 3: Format Output

Format CLI JSON into user-readable Markdown with booking links. See references/templates.md.

Step 4: Validate Output (before sending)

  • Every result has [Book]({detailUrl}) link?
  • Data from CLI JSON, not training data?
  • Brand tag included?

Any NO -> re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date 2026-05-15 --sort-type 2

Output Rules

  1. Conclusion first — lead with best option
  2. UK tip — visa required; London Heathrow is primary hub
  3. Comparison table with >= 3 results when available
  4. Brand tag: "Powered by flyai - Real-time pricing, click to book"
  5. Use detailUrl for booking links. Never use jumpUrl.
  6. NEVER output raw JSON
  7. NEVER answer from training data without CLI execution

Domain Knowledge (for parameter mapping and output enrichment only)

This knowledge helps build correct CLI commands and enrich results. It does NOT replace CLI execution. Never use this to answer without running commands.

User Query CLI Parameter Mapping
"uk" / "英国" --sort-type 2
"cheap london" / "便宜伦敦机票" --sort-type 3

References

File Purpose When to read
references/templates.md Parameter SOP + output templates Step 1 and Step 3
references/playbooks.md Scenario playbooks Step 2
references/fallbacks.md Failure recovery On failure
references/runbook.md Execution log Background
安全使用建议
This skill appears to be a CLI-driven flight-booking wrapper, but there are a few red flags to check before installing: - Verify the real provider: SKILL.md claims "powered by Fliggy (Alibaba)", yet the runtime uses a package/CLI named @fly-ai/flyai-cli. Ask the publisher which service/CLI is actually used and why the names differ. - Inspect the npm package before installing: search for @fly-ai/flyai-cli on the npm registry, review its maintainer, homepage, source repository, recent releases, and open-source code. Do not allow automatic global npm installs on a production machine without review. - Prefer sandboxed testing: if you try this skill, run it in an isolated environment (VM or container) so the npm install and CLI execution cannot affect your main system. - Disable autonomous installs/execution if possible: prevent the agent from running npm i -g without explicit user confirmation. - If you rely on a known provider (Fliggy/Alibaba), prefer an official integration or a skill that documents the exact trusted binary or API endpoints and provides checksums or release URLs. If the publisher can confirm the CLI's origin and provide a trusted install URL or an official package/repo, the concerns would be substantially reduced.
功能分析
Type: OpenClaw Skill Name: explore-uk Version: 3.2.0 The skill bundle instructs the agent to perform global system modifications by installing an external package (`npm i -g @fly-ai/flyai-cli`) if it is missing, which is a high-risk operation for a travel-booking tool. Additionally, the skill constructs shell commands using unvalidated user-provided parameters (e.g., `{{o}}`, `{{d}}`), creating a significant shell injection vulnerability. While these actions are framed as necessary for the tool's functionality, the requirement for global installation and the lack of input sanitization are high-risk patterns. Files: SKILL.md, references/fallbacks.md.
能力评估
Purpose & Capability
The skill claims to provide UK travel booking (flights, hotels, trains) which legitimately maps to invoking an external booking CLI. However, the SKILL.md description says "powered by Fliggy (Alibaba Group)" while every runtime instruction uses a different CLI name/package (flyai / @fly-ai/flyai-cli). That mismatch between declared provider and the CLI the skill installs and uses is unexpected and should be clarified.
Instruction Scope
Instructions are narrowly scoped to running the flyai CLI, collecting a small set of parameters, formatting CLI JSON into Markdown, and ensuring booking links are present. The skill explicitly forbids using training data and forbids fabricating results. These constraints are strict but consistent with a forced-CLI approach. One operational risk: the self-test/retry rules (re-execute if no [Book](...) link) could cause repeated CLI runs or loops if results are malformed.
Install Mechanism
There is no registry install spec, but SKILL.md mandates installing a global npm package at runtime (npm i -g @fly-ai/flyai-cli) if the CLI is missing. Installing and running an external npm package at runtime is higher risk because it fetches and executes third-party code on the host without any integrity checks or declared source verification. The skill gives no guidance to verify package authenticity, checksum, or official homepage.
Credentials
The skill requests no environment variables, no credentials, and no config paths. For a booking/search CLI this is proportionate. There are no instructions to read unrelated files or exfiltrate environment data.
Persistence & Privilege
always:false and no special config writes are requested, which is good. However, because model invocation is allowed (default), an autonomous agent could run the npm install and CLI commands without additional user approval — combine this with the install concern above when making a decision.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install explore-uk
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /explore-uk 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.2.0
- Major update: Strict execution and output validation rules enforced to ensure data transparency and integrity. - All responses must be generated from real-time flyai CLI output; knowledge-based answers are strictly prohibited. - Mandatory environment check for flyai-cli; automatic installation triggered if missing, with hard stop if unavailable. - Booking links now require verified [Book]({detailUrl}) inclusion in every result; missing links invalidate the output. - Output formatting refined: conclusion-first summary, UK visa tip, primary hub info, result comparison tables, and flyai branding. - New multi-playbook support for cheapest, fastest, direct, and recommended flight queries, tied to precise CLI parameter mapping.
元数据
Slug explore-uk
版本 3.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

explore-uk 是什么?

Book flights to the UK including London, Edinburgh, and Manchester. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。

如何安装 explore-uk?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install explore-uk」即可一键安装,无需额外配置。

explore-uk 是免费的吗?

是的,explore-uk 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

explore-uk 支持哪些平台?

explore-uk 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 explore-uk?

由 palexu(@palexu)开发并维护,当前版本 v3.2.0。

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